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andfanilo / streamlit-drawable-canvas

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
https://drawable-canvas.streamlit.app/
MIT License
544 stars 83 forks source link

Change Uncompress ImageData to DataURL #67

Closed kapong closed 2 years ago

kapong commented 2 years ago

I reduce sending data from ImageData to DataURL. It's very compact and faster to transfer information when the canvas is large.

for example, I reduce from 7MB to 74kB with the same canvas size

image
andfanilo commented 2 years ago

Oh this is awesome! Have you had the chance to try it in a Cloud environment like Streamlit Sharing or Heroku, to see the data URL can be fetched correctly? (it should, but just to be sure)

kapong commented 2 years ago

@andfanilo, I just test on my own docker. But i think it will be ok because it's not required additional library to solve the dataurl.

kapong commented 2 years ago

Additional, I change backgroudImage from UInt8Array to URL using Streamlit in-mem filemanager. It's make everything faster.

I'm sorry about my English but I think you should try it you self to understand what i meant.

andfanilo commented 2 years ago

Yes I will test it, sorry I'm still giving lectures at university so I'll try to have a look next week :)

andfanilo commented 2 years ago

Hi @kapong

Finally got time to review your change and finally understood the gist of the code. Thanks for the contribution :) I'll do a release around this week, probably with a small video with the features in there. I'll probably thank you with your github username in the video except if you don't want to!

Have a nice day, Fanilo

kapong commented 2 years ago

It’s my pleasure.

On Sat, 26 Feb 2565 BE at 15:09 Fanilo Andrianasolo < @.***> wrote:

Hi @kapong https://github.com/kapong

Finally got time to review your change and finally understood the gist of the code. Thanks for the contribution :) I'll do a release around this week, probably with a small video with the features in there. I'll probably thank you with your github username in the video except if you don't want to!

Have a nice day, Fanilo

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